Evidence map›Paper›PMID 29721017›Full record

ArticleInternational journal of endocrinology2018

Elevated and Correlated Expressions of miR-24, miR-30d, miR-146a, and SFRP-4 in Human Abdominal Adipose Tissue Play a Role in Adiposity and Insulin Resistance.

Yury O Nunez Lopez, Gabriella Garufi, Magdalena Pasarica, Attila A Seyhan

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00704197 (Study of Sex Differences in Characteristics of Adiposity and Metabolism), which is not on this map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00704197 terminatednot on this map

Study of Sex Differences in Characteristics of Adiposity and Metabolism

TypeobservationalSponsorPennington Biomedical Research CenterRan2007 to 2016Enrolled23ConditionsObesity, Diabetes
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 42 citations in OpenAlex.

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  10. Trials and Tribulations of MicroRNA Therapeutics.International journal of molecular sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Yury O Nunez LopezTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.ORCID 0000-0003-0382-9124
Gabriella GarufiTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.
Magdalena PasaricaUniversity of Central Florida College of Medicine, Orlando, FL, USA.
Attila A SeyhanTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.ORCID 0000-0003-1276-8466
Translational Research Institute for Metabolism and Diabetes · USSanford Burnham Prebys Medical Discovery Institute · USUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe explored the relationships among microRNAs (miRNAs) and SFRP4, as they relate to adipose tissue functions including lipolysis, glucose and glycerol turnover, and insulin sensitivity.

methodsAbdominal adipose tissue (AbdAT) levels of thirteen microRNAs (miRNAs), SFRP4, and VEGF in lean nondiabetic subjects (

resultsAbdAT miR-24, miR-30d, and miR-146a were elevated in subjects with obesity (

conclusionsThis study suggests a novel association between the elevated levels of miRNAs miR-24, miR-30d, and miR-146a (apparently coregulated) and the level of SFRP4 transcript in AbdAT of subjects with obesity and T2DM. These molecules might be part of a regulatory loop involved in AbdAT remodeling/adiposity and systemic insulin resistance. This trial is registered with NCT00704197.

Identifiers

PMID29721017
PMCPMC5867542
OpenAlexW2794090318

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.